globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.12795
论文题名:
Detection and attribution of vegetation greening trend in China over the last 30 years
作者: Piao S.; Yin G.; Tan J.; Cheng L.; Huang M.; Li Y.; Liu R.; Mao J.; Myneni R.B.; Peng S.; Poulter B.; Shi X.; Xiao Z.; Zeng N.; Zeng Z.; Wang Y.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2015
卷: 21, 期:4
起始页码: 1601
结束页码: 1609
语种: 英语
英文关键词: Afforestation ; Attribution ; China ; CO2 fertilization effect ; Detection ; Greening trend ; Nitrogen deposition
Scopus关键词: afforestation ; carbon dioxide ; climate change ; climate effect ; leaf area index ; nitrogen ; satellite data ; sustainable development ; vegetation ; China ; Nei Monggol ; Qinghai-Xizang Plateau ; carbon dioxide ; nitrogen ; China ; climate change ; environmental monitoring ; environmental protection ; forest ; plant development ; remote sensing ; space flight ; temperature ; theoretical model ; Carbon Dioxide ; China ; Climate Change ; Conservation of Natural Resources ; Environmental Monitoring ; Forests ; Models, Theoretical ; Nitrogen ; Plant Development ; Remote Sensing Technology ; Spacecraft ; Temperature
英文摘要: The reliable detection and attribution of changes in vegetation growth is a prerequisite for the development of strategies for the sustainable management of ecosystems. This is an extraordinary challenge. To our knowledge, this study is the first to comprehensively detect and attribute a greening trend in China over the last three decades. We use three different satellite-derived Leaf Area Index (LAI) datasets for detection as well as five different process-based ecosystem models for attribution. Rising atmospheric CO2 concentration and nitrogen deposition are identified as the most likely causes of the greening trend in China, explaining 85% and 41% of the average growing-season LAI trend (LAIGS) estimated by satellite datasets (average trend of 0.0070 yr-1, ranging from 0.0035 yr-1 to 0.0127 yr-1), respectively. The contribution of nitrogen deposition is more clearly seen in southern China than in the north of the country. Models disagree about the contribution of climate change alone to the trend in LAIGS at the country scale (one model shows a significant increasing trend, whereas two others show significant decreasing trends). However, the models generally agree on the negative impacts of climate change in north China and Inner Mongolia and the positive impact in the Qinghai-Xizang plateau. Provincial forest area change tends to be significantly correlated with the trend of LAIGS (P < 0.05), and marginally significantly (P = 0.07) correlated with the residual of LAIGS trend, calculated as the trend observed by satellite minus that estimated by models through considering the effects of climate change, rising CO2 concentration and nitrogen deposition, across different provinces. This result highlights the important role of China's afforestation program in explaining the spatial patterns of trend in vegetation growth. © 2014 John Wiley & Sons Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61729
Appears in Collections:影响、适应和脆弱性

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作者单位: Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China; Institute of Tibetan Plateau Research, Center for Excellence in Tibetan Earth Scicence, Chinese Academy of Sciences, Beijing, China; CSIRO Marine and Atmospheric Research, Centre for Australian Weather and Climate Research, PMB #1, Aspendale, VIC, Australia; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Climate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States; Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA, United States; Institute on Ecosystems and the Department of Ecology, Montana State University, Bozeman, MT, United States; School of Geography, Beijing Normal University, Beijing, China; Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, United States

Recommended Citation:
Piao S.,Yin G.,Tan J.,et al. Detection and attribution of vegetation greening trend in China over the last 30 years[J]. Global Change Biology,2015-01-01,21(4)
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